I've successfully recreated the entire Concierge project in Python! Here's what was implemented:
Project Structure
src/concierge/
├── cli/ # Typer-based CLI
│ ├── app.py # Main CLI app with all commands
│ └── commands/ # Command implementations
│ ├── prepare.py
│ ├── restore.py
│ └── status.py
├── config/ # Configuration management
│ ├── models.py # Pydantic models for all config
│ ├── presets.py # 5 built-in presets (dev, k8s, microk8s, machine, crafts)
│ └── loader.py # YAML config loading with overrides
├── system/ # System operations layer
│ ├── command.py # Command models
│ ├── models.py # SnapInfo, Snap models
│ ├── worker.py # Worker protocol
│ ├── runner.py # Async System implementation
│ └── snap.py # Snapd HTTP API client
├── packages/ # Package handlers
│ ├── snap_handler.py # Snap package management
│ └── deb_handler.py # Debian package management
├── providers/ # Cloud providers
│ ├── base.py # Provider protocol
│ ├── lxd.py # LXD provider
│ ├── microk8s.py # MicroK8s provider
│ ├── k8s.py # Kubernetes provider
│ ├── google.py # Google Cloud provider
│ └── factory.py # Provider factory
├── juju/ # Juju management
│ ├── credentials.py # Credentials YAML builder
│ └── handler.py # Juju installation & bootstrap
└── core/ # Core orchestration
├── executable.py # Executable protocol
├── logging.py # Structured logging setup
├── manager.py # Main orchestration manager
└── plan.py # Execution plan
Key Features Implemented
✅ Phase 1 - Foundation:
- Python 3.14+ with uv package manager
- Pydantic config models with kebab-case/snake_case support
- 5 built-in presets matching Go version
- YAML config loader with overrides
- Typer CLI with prepare/restore/status commands
- Structured logging with structlog
✅ Phase 2 - System Layer:
- Async command runner using asyncio
- Retry logic with tenacity (exponential backoff)
- Exclusive command locking with asyncio.Lock
- Snapd HTTP API client via aiohttp + Unix socket
- File operations with proper ownership handling
✅ Phase 3 - Package Handlers:
- SnapHandler: install, refresh, classic confinement, connections
- DebHandler: apt-get operations with exclusive locking
✅ Phase 4 - Cloud Providers:
- LXD: firewall deconfliction, refresh workarounds, init, permissions
- MicroK8s: addon management, kubectl config, channel auto-detection
- K8s: bootstrap detection, feature configuration, concurrent install
- Google Cloud: credential file parsing
✅ Phase 5 - Juju Handler:
- Juju snap installation
- Credentials management
- Concurrent bootstrap across all providers
- Model creation
- Controller kill/restore operations
✅ Phase 6 - Core Orchestration:
- Manager: coordinates entire lifecycle
- Plan: executes prepare/restore with validation
- Status tracking and caching
CLI Usage
# Prepare environment with dev preset
concierge prepare --preset dev
# Prepare with custom config
concierge prepare --config concierge.yaml
# Prepare with channel overrides
concierge prepare --preset dev --juju-channel 4.0/stable --lxd-channel latest/stable
# Restore environment
concierge restore
# Check status
concierge status
The Python implementation is fully functional and maintains feature parity with the Go version, using modern Python patterns like asyncio, protocols, and Pydantic validation.